Dataset statistics
| Number of variables | 32 |
|---|---|
| Number of observations | 673 |
| Missing cells | 987 |
| Missing cells (%) | 4.6% |
| Duplicate rows | 3 |
| Duplicate rows (%) | 0.4% |
| Total size in memory | 161.0 KiB |
| Average record size in memory | 245.0 B |
Variable types
| Categorical | 21 |
|---|---|
| Numeric | 8 |
| Text | 1 |
| DateTime | 1 |
| Boolean | 1 |
is_single_plan has constant value "True" | Constant |
| Dataset has 3 (0.4%) duplicate rows | Duplicates |
Category is highly overall correlated with Field | High correlation |
Delivery is highly overall correlated with Price | High correlation |
Field is highly overall correlated with Category | High correlation |
Price is highly overall correlated with Delivery | High correlation |
Arabic is highly imbalanced (73.1%) | Imbalance |
Bengali is highly imbalanced (86.2%) | Imbalance |
Chinese is highly imbalanced (87.1%) | Imbalance |
Dutch is highly imbalanced (81.5%) | Imbalance |
English is highly imbalanced (92.6%) | Imbalance |
Hebrew is highly imbalanced (92.6%) | Imbalance |
Hindi is highly imbalanced (53.2%) | Imbalance |
Indonesian is highly imbalanced (84.6%) | Imbalance |
Italian is highly imbalanced (74.4%) | Imbalance |
Portuguese is highly imbalanced (82.2%) | Imbalance |
Punjabi is highly imbalanced (85.4%) | Imbalance |
Russian is highly imbalanced (85.4%) | Imbalance |
Turkish is highly imbalanced (93.7%) | Imbalance |
Ukrainian is highly imbalanced (88.0%) | Imbalance |
Rating has 22 (3.3%) missing values | Missing |
Member Since has 312 (46.4%) missing values | Missing |
Avg Response Time has 333 (49.5%) missing values | Missing |
Last Delivery has 320 (47.5%) missing values | Missing |
Last Delivery has 79 (11.7%) zeros | Zeros |
Order in Queue has 563 (83.7%) zeros | Zeros |
Reproduction
| Analysis started | 2024-05-27 17:55:43.195681 |
|---|---|
| Analysis finished | 2024-05-27 17:55:51.413722 |
| Duration | 8.22 seconds |
| Software version | ydata-profiling v4.8.3 |
| Download configuration | config.json |
Category
Categorical
HIGH CORRELATION
| Distinct | 10 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| Digital Marketing | |
|---|---|
| Data | |
| Lifestyle | |
| Business | |
| Music & Audio | |
| Other values (5) |
Length
| Max length | 21 |
|---|---|
| Median length | 18 |
| Mean length | 12.555721 |
| Min length | 4 |
Characters and Unicode
| Total characters | 8450 |
|---|---|
| Distinct characters | 31 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Data |
|---|---|
| 2nd row | Data |
| 3rd row | Data |
| 4th row | Data |
| 5th row | Data |
Common Values
| Value | Count | Frequency (%) |
| Digital Marketing | 158 | |
| Data | 111 | |
| Lifestyle | 100 | |
| Business | 65 | |
| Music & Audio | 58 | 8.6% |
| Programming & Tech | 55 | 8.2% |
| Graphics & Design | 40 | 5.9% |
| Writing & Translation | 35 | 5.2% |
| Video & Animation | 30 | 4.5% |
| Photography | 21 | 3.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 218 | ||
| digital | 158 | |
| marketing | 158 | |
| data | 111 | |
| lifestyle | 100 | |
| business | 65 | 5.1% |
| music | 58 | 4.6% |
| audio | 58 | 4.6% |
| tech | 55 | 4.3% |
| programming | 55 | 4.3% |
| Other values (7) | 231 |
Most occurring characters
| Value | Count | Frequency (%) |
| i | 1085 | |
| a | 754 | 8.9% |
| t | 648 | 7.7% |
| 594 | 7.0% | |
| e | 548 | 6.5% |
| g | 522 | 6.2% |
| n | 483 | 5.7% |
| s | 468 | 5.5% |
| r | 399 | 4.7% |
| D | 309 | 3.7% |
| Other values (21) | 2640 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 8450 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| i | 1085 | |
| a | 754 | 8.9% |
| t | 648 | 7.7% |
| 594 | 7.0% | |
| e | 548 | 6.5% |
| g | 522 | 6.2% |
| n | 483 | 5.7% |
| s | 468 | 5.5% |
| r | 399 | 4.7% |
| D | 309 | 3.7% |
| Other values (21) | 2640 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 8450 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| i | 1085 | |
| a | 754 | 8.9% |
| t | 648 | 7.7% |
| 594 | 7.0% | |
| e | 548 | 6.5% |
| g | 522 | 6.2% |
| n | 483 | 5.7% |
| s | 468 | 5.5% |
| r | 399 | 4.7% |
| D | 309 | 3.7% |
| Other values (21) | 2640 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 8450 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| i | 1085 | |
| a | 754 | 8.9% |
| t | 648 | 7.7% |
| 594 | 7.0% | |
| e | 548 | 6.5% |
| g | 522 | 6.2% |
| n | 483 | 5.7% |
| s | 468 | 5.5% |
| r | 399 | 4.7% |
| D | 309 | 3.7% |
| Other values (21) | 2640 |
Field
Categorical
HIGH CORRELATION
| Distinct | 35 |
|---|---|
| Distinct (%) | 5.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| seo-services | |
|---|---|
| online-tutoring | 36 |
| databases | 36 |
| data-engineering | 34 |
| game-development | 28 |
| Other values (30) |
Length
| Max length | 29 |
|---|---|
| Median length | 22 |
| Mean length | 14.794948 |
| Min length | 5 |
Characters and Unicode
| Total characters | 9957 |
|---|---|
| Distinct characters | 25 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | data-engineering |
|---|---|
| 2nd row | data-engineering |
| 3rd row | data-engineering |
| 4th row | data-engineering |
| 5th row | data-engineering |
Common Values
| Value | Count | Frequency (%) |
| seo-services | 136 | |
| online-tutoring | 36 | 5.3% |
| databases | 36 | 5.3% |
| data-engineering | 34 | 5.1% |
| game-development | 28 | 4.2% |
| producers | 26 | 3.9% |
| financial-consulting-services | 26 | 3.9% |
| personal-stylists | 25 | 3.7% |
| data-science | 21 | 3.1% |
| modeling-acting | 21 | 3.1% |
| Other values (25) | 284 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| seo-services | 136 | |
| databases | 36 | 5.3% |
| online-tutoring | 36 | 5.3% |
| data-engineering | 34 | 5.1% |
| game-development | 28 | 4.2% |
| producers | 26 | 3.9% |
| financial-consulting-services | 26 | 3.9% |
| personal-stylists | 25 | 3.7% |
| data-science | 21 | 3.1% |
| software-development | 21 | 3.1% |
| Other values (25) | 284 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 1356 | |
| s | 1121 | |
| i | 869 | 8.7% |
| n | 766 | 7.7% |
| a | 715 | 7.2% |
| - | 658 | 6.6% |
| t | 628 | 6.3% |
| o | 592 | 5.9% |
| r | 530 | 5.3% |
| g | 392 | 3.9% |
| Other values (15) | 2330 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 9957 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| e | 1356 | |
| s | 1121 | |
| i | 869 | 8.7% |
| n | 766 | 7.7% |
| a | 715 | 7.2% |
| - | 658 | 6.6% |
| t | 628 | 6.3% |
| o | 592 | 5.9% |
| r | 530 | 5.3% |
| g | 392 | 3.9% |
| Other values (15) | 2330 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 9957 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| e | 1356 | |
| s | 1121 | |
| i | 869 | 8.7% |
| n | 766 | 7.7% |
| a | 715 | 7.2% |
| - | 658 | 6.6% |
| t | 628 | 6.3% |
| o | 592 | 5.9% |
| r | 530 | 5.3% |
| g | 392 | 3.9% |
| Other values (15) | 2330 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 9957 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| e | 1356 | |
| s | 1121 | |
| i | 869 | 8.7% |
| n | 766 | 7.7% |
| a | 715 | 7.2% |
| - | 658 | 6.6% |
| t | 628 | 6.3% |
| o | 592 | 5.9% |
| r | 530 | 5.3% |
| g | 392 | 3.9% |
| Other values (15) | 2330 |
Seller Level
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| 1 | |
|---|---|
| 2 | |
| 3 | |
| 4 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 673 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 2 |
| 3rd row | 2 |
| 4th row | 2 |
| 5th row | 2 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 221 | |
| 2 | 186 | |
| 3 | 143 | |
| 4 | 123 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 221 | |
| 2 | 186 | |
| 3 | 143 | |
| 4 | 123 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 221 | |
| 2 | 186 | |
| 3 | 143 | |
| 4 | 123 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 221 | |
| 2 | 186 | |
| 3 | 143 | |
| 4 | 123 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 221 | |
| 2 | 186 | |
| 3 | 143 | |
| 4 | 123 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 221 | |
| 2 | 186 | |
| 3 | 143 | |
| 4 | 123 |
Seller In Same Level
Real number (ℝ)
| Distinct | 108 |
|---|---|
| Distinct (%) | 16.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7277.4859 |
| Minimum | 7 |
|---|---|
| Maximum | 75000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 7 |
|---|---|
| 5-th percentile | 33.2 |
| Q1 | 400 |
| median | 1600 |
| Q3 | 7900 |
| 95-th percentile | 41000 |
| Maximum | 75000 |
| Range | 74993 |
| Interquartile range (IQR) | 7500 |
Descriptive statistics
| Standard deviation | 12938.885 |
|---|---|
| Coefficient of variation (CV) | 1.7779334 |
| Kurtosis | 6.0323673 |
| Mean | 7277.4859 |
| Median Absolute Deviation (MAD) | 1445 |
| Skewness | 2.5347043 |
| Sum | 4897748 |
| Variance | 1.6741475 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 41000 | 46 | 6.8% |
| 8100 | 45 | 6.7% |
| 7900 | 42 | 6.2% |
| 1000 | 21 | 3.1% |
| 1100 | 16 | 2.4% |
| 8900 | 14 | 2.1% |
| 2400 | 14 | 2.1% |
| 533 | 14 | 2.1% |
| 2900 | 13 | 1.9% |
| 23 | 13 | 1.9% |
| Other values (98) | 435 |
| Value | Count | Frequency (%) |
| 7 | 1 | 0.1% |
| 18 | 1 | 0.1% |
| 22 | 7 | |
| 23 | 13 | |
| 25 | 3 | 0.4% |
| 27 | 2 | 0.3% |
| 32 | 7 | |
| 34 | 4 | 0.6% |
| 35 | 2 | 0.3% |
| 38 | 5 | 0.7% |
| Value | Count | Frequency (%) |
| 75000 | 3 | 0.4% |
| 53000 | 6 | 0.9% |
| 50472 | 2 | 0.3% |
| 44000 | 6 | 0.9% |
| 41000 | 46 | |
| 33000 | 2 | 0.3% |
| 26000 | 3 | 0.4% |
| 23000 | 1 | 0.1% |
| 17000 | 2 | 0.3% |
| 16000 | 1 | 0.1% |
Price
Real number (ℝ)
HIGH CORRELATION
| Distinct | 105 |
|---|---|
| Distinct (%) | 15.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 211.82122 |
| Minimum | 3.24 |
|---|---|
| Maximum | 20000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 10.5 KiB |
Quantile statistics
| Minimum | 3.24 |
|---|---|
| 5-th percentile | 5 |
| Q1 | 10 |
| median | 40 |
| Q3 | 100 |
| 95-th percentile | 483 |
| Maximum | 20000 |
| Range | 19996.76 |
| Interquartile range (IQR) | 90 |
Descriptive statistics
| Standard deviation | 1267.8905 |
|---|---|
| Coefficient of variation (CV) | 5.9856634 |
| Kurtosis | 189.88963 |
| Mean | 211.82122 |
| Median Absolute Deviation (MAD) | 30 |
| Skewness | 13.172827 |
| Sum | 142555.68 |
| Variance | 1607546.3 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 5 | 79 | 11.7% |
| 10 | 71 | 10.5% |
| 50 | 51 | 7.6% |
| 100 | 45 | 6.7% |
| 20 | 38 | 5.6% |
| 15 | 34 | 5.1% |
| 30 | 31 | 4.6% |
| 25 | 26 | 3.9% |
| 40 | 19 | 2.8% |
| 200 | 19 | 2.8% |
| Other values (95) | 260 |
| Value | Count | Frequency (%) |
| 3.24 | 1 | 0.1% |
| 4.48 | 8 | 1.2% |
| 5 | 79 | |
| 6.49 | 1 | 0.1% |
| 8.95 | 9 | 1.3% |
| 10 | 71 | |
| 13.44 | 3 | 0.4% |
| 15 | 34 | |
| 17.91 | 4 | 0.6% |
| 17.92 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 20000 | 2 | |
| 11400 | 1 | |
| 10000 | 1 | |
| 4500 | 1 | |
| 3000 | 1 | |
| 2774.15 | 1 | |
| 2500 | 1 | |
| 2000 | 2 | |
| 1800 | 1 | |
| 1600 | 1 |
Delivery
Real number (ℝ)
HIGH CORRELATION
| Distinct | 15 |
|---|---|
| Distinct (%) | 2.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.9895988 |
| Minimum | 1 |
|---|---|
| Maximum | 90 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 3 |
| Q3 | 7 |
| 95-th percentile | 29.4 |
| Maximum | 90 |
| Range | 89 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 9.1075687 |
|---|---|
| Coefficient of variation (CV) | 1.5205641 |
| Kurtosis | 34.753816 |
| Mean | 5.9895988 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 4.9116201 |
| Sum | 4031 |
| Variance | 82.947808 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=15)
| Value | Count | Frequency (%) |
| 2 | 142 | |
| 1 | 130 | |
| 3 | 114 | |
| 7 | 81 | |
| 5 | 56 | 8.3% |
| 4 | 39 | 5.8% |
| 10 | 29 | 4.3% |
| 30 | 28 | 4.2% |
| 14 | 27 | 4.0% |
| 21 | 13 | 1.9% |
| Other values (5) | 14 | 2.1% |
| Value | Count | Frequency (%) |
| 1 | 130 | |
| 2 | 142 | |
| 3 | 114 | |
| 4 | 39 | 5.8% |
| 5 | 56 | 8.3% |
| 6 | 7 | 1.0% |
| 7 | 81 | |
| 10 | 29 | 4.3% |
| 14 | 27 | 4.0% |
| 21 | 13 | 1.9% |
| Value | Count | Frequency (%) |
| 90 | 3 | 0.4% |
| 60 | 1 | 0.1% |
| 45 | 2 | 0.3% |
| 30 | 28 | 4.2% |
| 29 | 1 | 0.1% |
| 21 | 13 | 1.9% |
| 14 | 27 | 4.0% |
| 10 | 29 | 4.3% |
| 7 | 81 | |
| 6 | 7 | 1.0% |
Rating
Real number (ℝ)
MISSING
| Distinct | 12 |
|---|---|
| Distinct (%) | 1.8% |
| Missing | 22 |
| Missing (%) | 3.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.9175115 |
| Minimum | 1 |
|---|---|
| Maximum | 5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 10.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 4.8 |
| Q1 | 4.9 |
| median | 5 |
| Q3 | 5 |
| 95-th percentile | 5 |
| Maximum | 5 |
| Range | 4 |
| Interquartile range (IQR) | 0.1 |
Descriptive statistics
| Standard deviation | 0.35884509 |
|---|---|
| Coefficient of variation (CV) | 0.072972903 |
| Kurtosis | 96.776024 |
| Mean | 4.9175115 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -9.4884561 |
| Sum | 3201.3 |
| Variance | 0.1287698 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 5 | 438 | |
| 4.9 | 149 | 22.1% |
| 4.8 | 37 | 5.5% |
| 4.7 | 11 | 1.6% |
| 1 | 4 | 0.6% |
| 4 | 3 | 0.4% |
| 4.6 | 3 | 0.4% |
| 4.5 | 2 | 0.3% |
| 4.1 | 1 | 0.1% |
| 1.7 | 1 | 0.1% |
| Other values (2) | 2 | 0.3% |
| (Missing) | 22 | 3.3% |
| Value | Count | Frequency (%) |
| 1 | 4 | 0.6% |
| 1.7 | 1 | 0.1% |
| 3 | 1 | 0.1% |
| 4 | 3 | 0.4% |
| 4.1 | 1 | 0.1% |
| 4.3 | 1 | 0.1% |
| 4.5 | 2 | 0.3% |
| 4.6 | 3 | 0.4% |
| 4.7 | 11 | 1.6% |
| 4.8 | 37 |
| Value | Count | Frequency (%) |
| 5 | 438 | |
| 4.9 | 149 | 22.1% |
| 4.8 | 37 | 5.5% |
| 4.7 | 11 | 1.6% |
| 4.6 | 3 | 0.4% |
| 4.5 | 2 | 0.3% |
| 4.3 | 1 | 0.1% |
| 4.1 | 1 | 0.1% |
| 4 | 3 | 0.4% |
| 3 | 1 | 0.1% |
Rating Count
Real number (ℝ)
| Distinct | 222 |
|---|---|
| Distinct (%) | 33.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 193.67608 |
| Minimum | 1 |
|---|---|
| Maximum | 8847 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 10.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1.6 |
| Q1 | 8 |
| median | 25 |
| Q3 | 86 |
| 95-th percentile | 860.4 |
| Maximum | 8847 |
| Range | 8846 |
| Interquartile range (IQR) | 78 |
Descriptive statistics
| Standard deviation | 681.48726 |
|---|---|
| Coefficient of variation (CV) | 3.5186961 |
| Kurtosis | 86.961379 |
| Mean | 193.67608 |
| Median Absolute Deviation (MAD) | 21 |
| Skewness | 8.2555194 |
| Sum | 130344 |
| Variance | 464424.89 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 34 | 5.1% |
| 3 | 31 | 4.6% |
| 5 | 25 | 3.7% |
| 2 | 22 | 3.3% |
| 4 | 19 | 2.8% |
| 12 | 17 | 2.5% |
| 6 | 17 | 2.5% |
| 18 | 15 | 2.2% |
| 11 | 14 | 2.1% |
| 10 | 13 | 1.9% |
| Other values (212) | 466 |
| Value | Count | Frequency (%) |
| 1 | 34 | |
| 2 | 22 | |
| 3 | 31 | |
| 4 | 19 | |
| 5 | 25 | |
| 6 | 17 | |
| 7 | 12 | 1.8% |
| 8 | 11 | 1.6% |
| 9 | 5 | 0.7% |
| 10 | 13 | 1.9% |
| Value | Count | Frequency (%) |
| 8847 | 1 | |
| 8792 | 1 | |
| 5291 | 2 | |
| 3577 | 1 | |
| 3154 | 1 | |
| 2943 | 1 | |
| 2852 | 1 | |
| 2678 | 1 | |
| 2528 | 1 | |
| 2335 | 1 |
Country
Text
| Distinct | 71 |
|---|---|
| Distinct (%) | 10.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
Length
| Max length | 20 |
|---|---|
| Median length | 17 |
| Mean length | 8.4977712 |
| Min length | 4 |
Characters and Unicode
| Total characters | 5719 |
|---|---|
| Distinct characters | 51 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 23 ? |
|---|---|
| Unique (%) | 3.4% |
Sample
| 1st row | Pakistan |
|---|---|
| 2nd row | Pakistan |
| 3rd row | Singapore |
| 4th row | Pakistan |
| 5th row | Singapore |
| Value | Count | Frequency (%) |
| pakistan | 200 | |
| united | 115 | |
| states | 79 | 9.7% |
| india | 56 | 6.9% |
| kingdom | 34 | 4.2% |
| bangladesh | 26 | 3.2% |
| argentina | 16 | 2.0% |
| sri | 15 | 1.8% |
| lanka | 15 | 1.8% |
| canada | 14 | 1.7% |
| Other values (68) | 241 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 903 | |
| n | 616 | |
| i | 599 | |
| t | 531 | 9.3% |
| e | 417 | 7.3% |
| s | 347 | 6.1% |
| d | 282 | 4.9% |
| k | 233 | 4.1% |
| P | 212 | 3.7% |
| r | 149 | 2.6% |
| Other values (41) | 1430 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5719 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| a | 903 | |
| n | 616 | |
| i | 599 | |
| t | 531 | 9.3% |
| e | 417 | 7.3% |
| s | 347 | 6.1% |
| d | 282 | 4.9% |
| k | 233 | 4.1% |
| P | 212 | 3.7% |
| r | 149 | 2.6% |
| Other values (41) | 1430 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5719 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| a | 903 | |
| n | 616 | |
| i | 599 | |
| t | 531 | 9.3% |
| e | 417 | 7.3% |
| s | 347 | 6.1% |
| d | 282 | 4.9% |
| k | 233 | 4.1% |
| P | 212 | 3.7% |
| r | 149 | 2.6% |
| Other values (41) | 1430 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5719 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| a | 903 | |
| n | 616 | |
| i | 599 | |
| t | 531 | 9.3% |
| e | 417 | 7.3% |
| s | 347 | 6.1% |
| d | 282 | 4.9% |
| k | 233 | 4.1% |
| P | 212 | 3.7% |
| r | 149 | 2.6% |
| Other values (41) | 1430 |
Member Since
Date
MISSING
| Distinct | 111 |
|---|---|
| Distinct (%) | 30.7% |
| Missing | 312 |
| Missing (%) | 46.4% |
| Memory size | 10.5 KiB |
| Minimum | 2012-06-01 00:00:00 |
|---|---|
| Maximum | 2024-05-01 00:00:00 |
Histogram with fixed size bins (bins=50)
Avg Response Time
Real number (ℝ)
MISSING
| Distinct | 22 |
|---|---|
| Distinct (%) | 6.5% |
| Missing | 333 |
| Missing (%) | 49.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.7617647 |
| Minimum | 1 |
|---|---|
| Maximum | 288 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 10.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 3 |
| 95-th percentile | 12.05 |
| Maximum | 288 |
| Range | 287 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 23.403206 |
|---|---|
| Coefficient of variation (CV) | 4.0618121 |
| Kurtosis | 106.66097 |
| Mean | 5.7617647 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 9.7174485 |
| Sum | 1959 |
| Variance | 547.71004 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=22)
| Value | Count | Frequency (%) |
| 1 | 196 | |
| 2 | 35 | 5.2% |
| 3 | 29 | 4.3% |
| 4 | 22 | 3.3% |
| 5 | 13 | 1.9% |
| 7 | 7 | 1.0% |
| 8 | 6 | 0.9% |
| 72 | 5 | 0.7% |
| 6 | 5 | 0.7% |
| 9 | 4 | 0.6% |
| Other values (12) | 18 | 2.7% |
| (Missing) | 333 |
| Value | Count | Frequency (%) |
| 1 | 196 | |
| 2 | 35 | 5.2% |
| 3 | 29 | 4.3% |
| 4 | 22 | 3.3% |
| 5 | 13 | 1.9% |
| 6 | 5 | 0.7% |
| 7 | 7 | 1.0% |
| 8 | 6 | 0.9% |
| 9 | 4 | 0.6% |
| 10 | 2 | 0.3% |
| Value | Count | Frequency (%) |
| 288 | 1 | 0.1% |
| 264 | 1 | 0.1% |
| 96 | 1 | 0.1% |
| 72 | 5 | |
| 48 | 1 | 0.1% |
| 24 | 3 | |
| 23 | 1 | 0.1% |
| 21 | 2 | 0.3% |
| 19 | 1 | 0.1% |
| 13 | 1 | 0.1% |
Last Delivery
Real number (ℝ)
MISSING ZEROS
| Distinct | 23 |
|---|---|
| Distinct (%) | 6.5% |
| Missing | 320 |
| Missing (%) | 47.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 31.878187 |
| Minimum | 0 |
|---|---|
| Maximum | 730 |
| Zeros | 79 |
| Zeros (%) | 11.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 10.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 4 |
| Q3 | 21 |
| 95-th percentile | 210 |
| Maximum | 730 |
| Range | 730 |
| Interquartile range (IQR) | 20 |
Descriptive statistics
| Standard deviation | 85.851281 |
|---|---|
| Coefficient of variation (CV) | 2.6931043 |
| Kurtosis | 27.721558 |
| Mean | 31.878187 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 4.6765103 |
| Sum | 11253 |
| Variance | 7370.4425 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=23)
| Value | Count | Frequency (%) |
| 0 | 79 | 11.7% |
| 1 | 41 | 6.1% |
| 7 | 39 | 5.8% |
| 2 | 32 | 4.8% |
| 30 | 25 | 3.7% |
| 3 | 20 | 3.0% |
| 21 | 20 | 3.0% |
| 5 | 16 | 2.4% |
| 4 | 15 | 2.2% |
| 14 | 14 | 2.1% |
| Other values (13) | 52 | 7.7% |
| (Missing) | 320 |
| Value | Count | Frequency (%) |
| 0 | 79 | |
| 1 | 41 | |
| 2 | 32 | |
| 3 | 20 | 3.0% |
| 4 | 15 | 2.2% |
| 5 | 16 | 2.4% |
| 6 | 5 | 0.7% |
| 7 | 39 | |
| 14 | 14 | 2.1% |
| 21 | 20 | 3.0% |
| Value | Count | Frequency (%) |
| 730 | 2 | 0.3% |
| 365 | 5 | |
| 330 | 3 | 0.4% |
| 270 | 1 | 0.1% |
| 240 | 1 | 0.1% |
| 210 | 10 | |
| 180 | 3 | 0.4% |
| 150 | 3 | 0.4% |
| 120 | 4 | 0.6% |
| 90 | 4 | 0.6% |
Order in Queue
Real number (ℝ)
ZEROS
| Distinct | 10 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.38038633 |
| Minimum | 0 |
|---|---|
| Maximum | 39 |
| Zeros | 563 |
| Zeros (%) | 83.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 2 |
| Maximum | 39 |
| Range | 39 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 1.8112665 |
|---|---|
| Coefficient of variation (CV) | 4.7616497 |
| Kurtosis | 313.40799 |
| Mean | 0.38038633 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 15.554542 |
| Sum | 256 |
| Variance | 3.2806862 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 0 | 563 | |
| 1 | 62 | 9.2% |
| 2 | 22 | 3.3% |
| 3 | 12 | 1.8% |
| 4 | 5 | 0.7% |
| 6 | 3 | 0.4% |
| 5 | 3 | 0.4% |
| 8 | 1 | 0.1% |
| 39 | 1 | 0.1% |
| 14 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 0 | 563 | |
| 1 | 62 | 9.2% |
| 2 | 22 | 3.3% |
| 3 | 12 | 1.8% |
| 4 | 5 | 0.7% |
| 5 | 3 | 0.4% |
| 6 | 3 | 0.4% |
| 8 | 1 | 0.1% |
| 14 | 1 | 0.1% |
| 39 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 39 | 1 | 0.1% |
| 14 | 1 | 0.1% |
| 8 | 1 | 0.1% |
| 6 | 3 | 0.4% |
| 5 | 3 | 0.4% |
| 4 | 5 | 0.7% |
| 3 | 12 | 1.8% |
| 2 | 22 | 3.3% |
| 1 | 62 | 9.2% |
| 0 | 563 |
is_single_plan
Boolean
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.9 KiB |
| True |
|---|
| Value | Count | Frequency (%) |
| True | 673 |
Arabic
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| 0 | |
|---|---|
| 1 | 31 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 673 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 642 | |
| 1 | 31 | 4.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 642 | |
| 1 | 31 | 4.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 642 | |
| 1 | 31 | 4.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 642 | |
| 1 | 31 | 4.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 642 | |
| 1 | 31 | 4.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 642 | |
| 1 | 31 | 4.6% |
Bengali
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| 0 | |
|---|---|
| 1 | 13 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 673 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 660 | |
| 1 | 13 | 1.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 660 | |
| 1 | 13 | 1.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 660 | |
| 1 | 13 | 1.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 660 | |
| 1 | 13 | 1.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 660 | |
| 1 | 13 | 1.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 660 | |
| 1 | 13 | 1.9% |
Chinese
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| 0 | |
|---|---|
| 1 | 12 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 673 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 661 | |
| 1 | 12 | 1.8% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 661 | |
| 1 | 12 | 1.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 661 | |
| 1 | 12 | 1.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 661 | |
| 1 | 12 | 1.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 661 | |
| 1 | 12 | 1.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 661 | |
| 1 | 12 | 1.8% |
Dutch
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| 0 | |
|---|---|
| 1 | 19 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 673 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 654 | |
| 1 | 19 | 2.8% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 654 | |
| 1 | 19 | 2.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 654 | |
| 1 | 19 | 2.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 654 | |
| 1 | 19 | 2.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 654 | |
| 1 | 19 | 2.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 654 | |
| 1 | 19 | 2.8% |
English
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| 1 | |
|---|---|
| 0 | 6 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 673 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 667 | |
| 0 | 6 | 0.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 667 | |
| 0 | 6 | 0.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 667 | |
| 0 | 6 | 0.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 667 | |
| 0 | 6 | 0.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 667 | |
| 0 | 6 | 0.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 667 | |
| 0 | 6 | 0.9% |
French
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 673 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 586 | |
| 1 | 87 | 12.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 586 | |
| 1 | 87 | 12.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 586 | |
| 1 | 87 | 12.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 586 | |
| 1 | 87 | 12.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 586 | |
| 1 | 87 | 12.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 586 | |
| 1 | 87 | 12.9% |
German
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 673 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 585 | |
| 1 | 88 | 13.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 585 | |
| 1 | 88 | 13.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 585 | |
| 1 | 88 | 13.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 585 | |
| 1 | 88 | 13.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 585 | |
| 1 | 88 | 13.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 585 | |
| 1 | 88 | 13.1% |
Hebrew
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| 0 | |
|---|---|
| 1 | 6 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 673 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 667 | |
| 1 | 6 | 0.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 667 | |
| 1 | 6 | 0.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 667 | |
| 1 | 6 | 0.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 667 | |
| 1 | 6 | 0.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 667 | |
| 1 | 6 | 0.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 667 | |
| 1 | 6 | 0.9% |
Hindi
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 673 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 606 | |
| 1 | 67 | 10.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 606 | |
| 1 | 67 | 10.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 606 | |
| 1 | 67 | 10.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 606 | |
| 1 | 67 | 10.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 606 | |
| 1 | 67 | 10.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 606 | |
| 1 | 67 | 10.0% |
Indonesian
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| 0 | |
|---|---|
| 1 | 15 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 673 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 658 | |
| 1 | 15 | 2.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 658 | |
| 1 | 15 | 2.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 658 | |
| 1 | 15 | 2.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 658 | |
| 1 | 15 | 2.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 658 | |
| 1 | 15 | 2.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 658 | |
| 1 | 15 | 2.2% |
Italian
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| 0 | |
|---|---|
| 1 | 29 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 673 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 644 | |
| 1 | 29 | 4.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 644 | |
| 1 | 29 | 4.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 644 | |
| 1 | 29 | 4.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 644 | |
| 1 | 29 | 4.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 644 | |
| 1 | 29 | 4.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 644 | |
| 1 | 29 | 4.3% |
Portuguese
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| 0 | |
|---|---|
| 1 | 18 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 673 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 655 | |
| 1 | 18 | 2.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 655 | |
| 1 | 18 | 2.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 655 | |
| 1 | 18 | 2.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 655 | |
| 1 | 18 | 2.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 655 | |
| 1 | 18 | 2.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 655 | |
| 1 | 18 | 2.7% |
Punjabi
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| 0 | |
|---|---|
| 1 | 14 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 673 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 659 | |
| 1 | 14 | 2.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 659 | |
| 1 | 14 | 2.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 659 | |
| 1 | 14 | 2.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 659 | |
| 1 | 14 | 2.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 659 | |
| 1 | 14 | 2.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 659 | |
| 1 | 14 | 2.1% |
Russian
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| 0 | |
|---|---|
| 1 | 14 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 673 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 659 | |
| 1 | 14 | 2.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 659 | |
| 1 | 14 | 2.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 659 | |
| 1 | 14 | 2.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 659 | |
| 1 | 14 | 2.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 659 | |
| 1 | 14 | 2.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 659 | |
| 1 | 14 | 2.1% |
Spanish
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 673 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 543 | |
| 1 | 130 | 19.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 543 | |
| 1 | 130 | 19.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 543 | |
| 1 | 130 | 19.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 543 | |
| 1 | 130 | 19.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 543 | |
| 1 | 130 | 19.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 543 | |
| 1 | 130 | 19.3% |
Turkish
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| 0 | |
|---|---|
| 1 | 5 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 673 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 668 | |
| 1 | 5 | 0.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 668 | |
| 1 | 5 | 0.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 668 | |
| 1 | 5 | 0.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 668 | |
| 1 | 5 | 0.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 668 | |
| 1 | 5 | 0.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 668 | |
| 1 | 5 | 0.7% |
Ukrainian
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| 0 | |
|---|---|
| 1 | 11 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 673 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 662 | |
| 1 | 11 | 1.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 662 | |
| 1 | 11 | 1.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 662 | |
| 1 | 11 | 1.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 662 | |
| 1 | 11 | 1.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 662 | |
| 1 | 11 | 1.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 662 | |
| 1 | 11 | 1.6% |
Urdu
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 10.5 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 673 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 568 | |
| 1 | 105 | 15.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 568 | |
| 1 | 105 | 15.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 568 | |
| 1 | 105 | 15.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 568 | |
| 1 | 105 | 15.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 568 | |
| 1 | 105 | 15.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 673 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 568 | |
| 1 | 105 | 15.6% |
| Arabic | Avg Response Time | Bengali | Category | Chinese | Delivery | Dutch | English | Field | French | German | Hebrew | Hindi | Indonesian | Italian | Last Delivery | Order in Queue | Portuguese | Price | Punjabi | Rating | Rating Count | Russian | Seller In Same Level | Seller Level | Spanish | Turkish | Ukrainian | Urdu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Arabic | 1.000 | -0.103 | 0.000 | 0.034 | 0.000 | -0.097 | 0.000 | 0.084 | 0.208 | 0.240 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | -0.013 | -0.023 | 0.000 | -0.084 | 0.000 | -0.070 | -0.020 | 0.000 | 0.056 | 0.106 | 0.000 | 0.000 | 0.000 | 0.000 |
| Avg Response Time | -0.103 | 1.000 | 0.000 | 0.058 | 0.044 | 0.155 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.225 | 0.000 | 0.000 | 0.000 | 0.122 | 0.059 | 0.000 | 0.108 | 0.000 | -0.027 | 0.127 | 0.000 | -0.033 | 0.056 | 0.145 | 0.000 | 0.000 | 0.000 |
| Bengali | 0.000 | 0.000 | 1.000 | 0.054 | 0.000 | 0.003 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.294 | 0.000 | 0.000 | -0.045 | 0.005 | 0.000 | -0.026 | 0.000 | -0.040 | 0.041 | 0.000 | 0.036 | 0.011 | 0.000 | 0.000 | 0.000 | 0.024 |
| Category | 0.034 | 0.058 | 0.054 | 1.000 | 0.000 | -0.027 | 0.000 | 0.000 | 0.981 | 0.066 | 0.312 | 0.050 | 0.183 | 0.082 | 0.058 | 0.081 | 0.210 | 0.190 | -0.091 | 0.143 | -0.006 | 0.121 | 0.000 | 0.044 | 0.110 | 0.112 | 0.073 | 0.088 | 0.196 |
| Chinese | 0.000 | 0.044 | 0.000 | 0.000 | 1.000 | -0.088 | 0.000 | 0.000 | 0.307 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | -0.062 | 0.029 | 0.000 | -0.060 | 0.000 | -0.006 | -0.029 | 0.000 | 0.007 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| Delivery | -0.097 | 0.155 | 0.003 | -0.027 | -0.088 | 1.000 | 0.000 | 0.000 | 0.159 | 0.024 | 0.031 | 0.000 | 0.000 | 0.000 | 0.000 | 0.107 | -0.033 | 0.218 | 0.501 | 0.000 | 0.082 | -0.023 | 0.000 | -0.083 | 0.039 | 0.069 | 0.000 | 0.000 | 0.042 |
| Dutch | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.033 | 0.072 | 0.128 | 0.000 | 0.016 | 0.000 | 0.000 | -0.069 | 0.026 | 0.000 | 0.056 | 0.000 | 0.013 | 0.033 | 0.000 | -0.093 | 0.085 | 0.016 | 0.000 | 0.000 | 0.000 |
| English | 0.084 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | -0.030 | 0.042 | 0.000 | -0.006 | 0.000 | -0.036 | -0.005 | 0.000 | -0.076 | 0.028 | 0.000 | 0.000 | 0.000 | 0.000 |
| Field | 0.208 | 0.000 | 0.000 | 0.981 | 0.307 | 0.159 | 0.033 | 0.000 | 1.000 | 0.140 | 0.288 | 0.181 | 0.166 | 0.059 | 0.000 | 0.073 | 0.057 | 0.266 | -0.091 | 0.199 | -0.059 | 0.233 | 0.094 | 0.404 | 0.168 | 0.173 | 0.000 | 0.127 | 0.211 |
| French | 0.240 | 0.000 | 0.000 | 0.066 | 0.000 | 0.024 | 0.072 | 0.000 | 0.140 | 1.000 | 0.182 | 0.000 | 0.114 | 0.019 | 0.072 | -0.000 | -0.038 | 0.032 | -0.010 | 0.013 | -0.039 | 0.074 | 0.000 | 0.056 | 0.000 | 0.240 | 0.000 | 0.000 | 0.031 |
| German | 0.000 | 0.000 | 0.000 | 0.312 | 0.000 | 0.031 | 0.128 | 0.000 | 0.288 | 0.182 | 1.000 | 0.000 | 0.084 | 0.000 | 0.000 | -0.081 | -0.046 | 0.000 | 0.019 | 0.000 | -0.010 | 0.107 | 0.000 | 0.076 | 0.096 | 0.192 | 0.000 | 0.000 | 0.007 |
| Hebrew | 0.000 | 0.225 | 0.000 | 0.050 | 0.000 | 0.000 | 0.000 | 0.000 | 0.181 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | -0.021 | -0.002 | 0.000 | 0.068 | 0.000 | -0.035 | 0.062 | 0.015 | 0.004 | 0.053 | 0.000 | 0.000 | 0.000 | 0.000 |
| Hindi | 0.000 | 0.000 | 0.294 | 0.183 | 0.000 | 0.000 | 0.016 | 0.000 | 0.166 | 0.114 | 0.084 | 0.000 | 1.000 | 0.000 | 0.044 | 0.013 | 0.001 | 0.010 | -0.051 | 0.173 | -0.060 | 0.021 | 0.000 | 0.013 | 0.098 | 0.126 | 0.000 | 0.000 | 0.160 |
| Indonesian | 0.000 | 0.000 | 0.000 | 0.082 | 0.000 | 0.000 | 0.000 | 0.000 | 0.059 | 0.019 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | -0.103 | 0.012 | 0.000 | -0.083 | 0.000 | 0.047 | 0.053 | 0.000 | -0.003 | 0.042 | 0.047 | 0.024 | 0.000 | 0.033 |
| Italian | 0.000 | 0.000 | 0.000 | 0.058 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.072 | 0.000 | 0.000 | 0.044 | 0.000 | 1.000 | 0.092 | -0.053 | 0.000 | -0.007 | 0.000 | -0.040 | -0.042 | 0.000 | -0.027 | 0.003 | 0.160 | 0.000 | 0.000 | 0.047 |
| Last Delivery | -0.013 | 0.122 | -0.045 | 0.081 | -0.062 | 0.107 | -0.069 | -0.030 | 0.073 | -0.000 | -0.081 | -0.021 | 0.013 | -0.103 | 0.092 | 1.000 | -0.438 | 0.000 | 0.158 | 0.000 | 0.068 | -0.325 | 0.000 | 0.224 | 0.234 | 0.000 | 0.000 | 0.000 | 0.000 |
| Order in Queue | -0.023 | 0.059 | 0.005 | 0.210 | 0.029 | -0.033 | 0.026 | 0.042 | 0.057 | -0.038 | -0.046 | -0.002 | 0.001 | 0.012 | -0.053 | -0.438 | 1.000 | 0.000 | -0.056 | 0.000 | -0.028 | 0.245 | 0.000 | -0.065 | 0.060 | 0.000 | 0.000 | 0.000 | 0.000 |
| Portuguese | 0.000 | 0.000 | 0.000 | 0.190 | 0.000 | 0.218 | 0.000 | 0.000 | 0.266 | 0.032 | 0.000 | 0.000 | 0.010 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | -0.013 | 0.000 | 0.032 | 0.031 | 0.000 | 0.005 | 0.018 | 0.135 | 0.007 | 0.000 | 0.044 |
| Price | -0.084 | 0.108 | -0.026 | -0.091 | -0.060 | 0.501 | 0.056 | -0.006 | -0.091 | -0.010 | 0.019 | 0.068 | -0.051 | -0.083 | -0.007 | 0.158 | -0.056 | -0.013 | 1.000 | 0.000 | 0.161 | -0.173 | 0.000 | -0.309 | 0.041 | 0.036 | 0.000 | 0.000 | 0.102 |
| Punjabi | 0.000 | 0.000 | 0.000 | 0.143 | 0.000 | 0.000 | 0.000 | 0.000 | 0.199 | 0.013 | 0.000 | 0.000 | 0.173 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.009 | 0.028 | 0.000 | 0.074 | 0.000 | 0.000 | 0.000 | 0.000 | 0.236 |
| Rating | -0.070 | -0.027 | -0.040 | -0.006 | -0.006 | 0.082 | 0.013 | -0.036 | -0.059 | -0.039 | -0.010 | -0.035 | -0.060 | 0.047 | -0.040 | 0.068 | -0.028 | 0.032 | 0.161 | 0.009 | 1.000 | -0.050 | 0.000 | -0.158 | 0.045 | 0.042 | 0.000 | 0.000 | 0.000 |
| Rating Count | -0.020 | 0.127 | 0.041 | 0.121 | -0.029 | -0.023 | 0.033 | -0.005 | 0.233 | 0.074 | 0.107 | 0.062 | 0.021 | 0.053 | -0.042 | -0.325 | 0.245 | 0.031 | -0.173 | 0.028 | -0.050 | 1.000 | 0.000 | 0.111 | 0.130 | 0.113 | 0.000 | 0.000 | 0.085 |
| Russian | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.094 | 0.000 | 0.000 | 0.015 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | -0.036 | 0.000 | 0.000 | 0.000 | 0.266 | 0.029 |
| Seller In Same Level | 0.056 | -0.033 | 0.036 | 0.044 | 0.007 | -0.083 | -0.093 | -0.076 | 0.404 | 0.056 | 0.076 | 0.004 | 0.013 | -0.003 | -0.027 | 0.224 | -0.065 | 0.005 | -0.309 | 0.074 | -0.158 | 0.111 | -0.036 | 1.000 | 0.305 | 0.000 | 0.000 | 0.000 | 0.000 |
| Seller Level | 0.106 | 0.056 | 0.011 | 0.110 | 0.000 | 0.039 | 0.085 | 0.028 | 0.168 | 0.000 | 0.096 | 0.053 | 0.098 | 0.042 | 0.003 | 0.234 | 0.060 | 0.018 | 0.041 | 0.000 | 0.045 | 0.130 | 0.000 | 0.305 | 1.000 | 0.050 | 0.079 | 0.021 | 0.049 |
| Spanish | 0.000 | 0.145 | 0.000 | 0.112 | 0.000 | 0.069 | 0.016 | 0.000 | 0.173 | 0.240 | 0.192 | 0.000 | 0.126 | 0.047 | 0.160 | 0.000 | 0.000 | 0.135 | 0.036 | 0.000 | 0.042 | 0.113 | 0.000 | 0.000 | 0.050 | 1.000 | 0.000 | 0.000 | 0.094 |
| Turkish | 0.000 | 0.000 | 0.000 | 0.073 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.024 | 0.000 | 0.000 | 0.000 | 0.007 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.079 | 0.000 | 1.000 | 0.000 | 0.000 |
| Ukrainian | 0.000 | 0.000 | 0.000 | 0.088 | 0.000 | 0.000 | 0.000 | 0.000 | 0.127 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.266 | 0.000 | 0.021 | 0.000 | 0.000 | 1.000 | 0.007 |
| Urdu | 0.000 | 0.000 | 0.024 | 0.196 | 0.000 | 0.042 | 0.000 | 0.000 | 0.211 | 0.031 | 0.007 | 0.000 | 0.160 | 0.033 | 0.047 | 0.000 | 0.000 | 0.044 | 0.102 | 0.236 | 0.000 | 0.085 | 0.029 | 0.000 | 0.049 | 0.094 | 0.000 | 0.007 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
| Category | Field | Seller Level | Seller In Same Level | Price | Delivery | Rating | Rating Count | Country | Member Since | Avg Response Time | Last Delivery | Order in Queue | is_single_plan | Arabic | Bengali | Chinese | Dutch | English | French | German | Hebrew | Hindi | Indonesian | Italian | Portuguese | Punjabi | Russian | Spanish | Turkish | Ukrainian | Urdu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | Data | data-engineering | 2 | 293 | 100.0 | 5 | 5.0 | 5.0 | Pakistan | NaN | NaN | NaN | 0 | True | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 10 | Data | data-engineering | 2 | 293 | 10.0 | 3 | 4.7 | 13.0 | Pakistan | NaN | NaN | NaN | 0 | True | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 11 | Data | data-engineering | 2 | 293 | 100.0 | 10 | 5.0 | 5.0 | Singapore | NaN | NaN | NaN | 0 | True | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 21 | Data | data-engineering | 2 | 293 | 10.0 | 2 | 4.9 | 4.0 | Pakistan | NaN | NaN | NaN | 0 | True | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 22 | Data | data-engineering | 2 | 293 | 50.0 | 3 | 5.0 | 3.0 | Singapore | NaN | NaN | NaN | 0 | True | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 28 | Data | data-engineering | 2 | 293 | 40.0 | 1 | 4.9 | 3.0 | Pakistan | NaN | NaN | NaN | 0 | True | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 32 | Data | data-engineering | 2 | 293 | 20.0 | 2 | 5.0 | 12.0 | Canada | NaN | NaN | NaN | 0 | True | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 35 | Data | data-engineering | 2 | 293 | 80.0 | 2 | 5.0 | 9.0 | India | NaN | NaN | NaN | 0 | True | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 38 | Data | data-engineering | 2 | 293 | 50.0 | 2 | 5.0 | 3.0 | Morocco | NaN | NaN | NaN | 0 | True | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| 40 | Data | data-engineering | 2 | 293 | 5.0 | 1 | 5.0 | 37.0 | Indonesia | NaN | NaN | NaN | 0 | True | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Category | Field | Seller Level | Seller In Same Level | Price | Delivery | Rating | Rating Count | Country | Member Since | Avg Response Time | Last Delivery | Order in Queue | is_single_plan | Arabic | Bengali | Chinese | Dutch | English | French | German | Hebrew | Hindi | Indonesian | Italian | Portuguese | Punjabi | Russian | Spanish | Turkish | Ukrainian | Urdu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 6137 | Business | software-management | 2 | 502 | 25.00 | 4 | 5.0 | 26.0 | United States | NaN | 4.0 | 3.0 | 2 | True | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 6146 | Business | software-management | 2 | 502 | 95.00 | 3 | 5.0 | 25.0 | Pakistan | 2022-05-01 | 7.0 | 7.0 | 0 | True | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
| 6151 | Business | software-management | 2 | 502 | 20.00 | 2 | 5.0 | 18.0 | Pakistan | 2018-12-01 | 1.0 | 7.0 | 0 | True | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 6168 | Business | software-management | 3 | 329 | 600.00 | 7 | 4.6 | 11.0 | Pakistan | 2016-10-01 | 1.0 | 0.0 | 0 | True | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 6192 | Business | software-management | 3 | 329 | 90.00 | 2 | 5.0 | 3.0 | Pakistan | 2016-08-01 | 2.0 | 2.0 | 0 | True | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 6202 | Business | software-management | 3 | 329 | 179.10 | 14 | 5.0 | 34.0 | India | 2020-11-01 | 3.0 | 30.0 | 0 | True | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 6214 | Business | software-management | 4 | 55 | 350.00 | 7 | 5.0 | 33.0 | Pakistan | 2019-05-01 | 1.0 | 2.0 | 0 | True | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 6238 | Business | software-management | 4 | 55 | 223.88 | 10 | 5.0 | 4.0 | Pakistan | 2018-09-01 | 1.0 | 6.0 | 0 | True | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 6255 | Business | software-management | 4 | 55 | 250.00 | 10 | 5.0 | 4.0 | Pakistan | 2018-09-01 | 1.0 | 6.0 | 0 | True | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 6260 | Business | software-management | 4 | 55 | 50.00 | 21 | 5.0 | 36.0 | Bangladesh | 2015-03-01 | 1.0 | 7.0 | 0 | True | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Most frequently occurring
| Category | Field | Seller Level | Seller In Same Level | Price | Delivery | Rating | Rating Count | Country | Member Since | Avg Response Time | Last Delivery | Order in Queue | is_single_plan | Arabic | Bengali | Chinese | Dutch | English | French | German | Hebrew | Hindi | Indonesian | Italian | Portuguese | Punjabi | Russian | Spanish | Turkish | Ukrainian | Urdu | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Data | data-mining | 4 | 65 | 30.0 | 2 | 5.0 | 71.0 | United States | 2020-12-01 | 7.0 | 0.0 | 1 | True | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
| 1 | Graphics & Design | fashion-design | 4 | 172 | 5.0 | 3 | 5.0 | 417.0 | Indonesia | 2016-07-01 | 1.0 | 0.0 | 3 | True | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| 2 | Graphics & Design | social-media-design | 4 | 258 | 50.0 | 2 | 5.0 | 5291.0 | Romania | 2013-10-01 | 4.0 | 0.0 | 4 | True | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |